Research on the Speed Sliding Mode Observation Method of a Bearingless Induction Motor

Chen, You‐Peng; Bu, Wenshao; Qiao, Yanke

doi:10.3390/en14040864

Cited by 14 publications

(16 citation statements)

References 35 publications

(75 reference statements)

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“…We will begin by calculating the maximum possible value of s[(k 0 + 1)T]. It can be observed from ( 7) and (12), that the value of s[(k + 1)T] increases, as s(kT) gets bigger. Therefore, the maximum of s[(k + 1)T] will occur for s(kT) = s d s 0…”

Section: Non-switching Reaching Lawmentioning

confidence: 99%

“…The eigenvalues of this matrix can be arbitrarily chosen by the designer, when selecting vector c. Moreover, using (12) it can be seen, that:…”

Section: Switching Reaching Lawmentioning

confidence: 99%

“…Sliding mode control is a useful paradigm not only in controller design, but in state observation as well. In [12], the authors propose a sliding mode speed observer for a bearingless induction motor. Computer simulations demonstrate, that the proposed observer ensures faster and more accurate estimation than using a model reference adaptive system (MRAS) speed identification.…”

Section: Introductionmentioning

confidence: 99%

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Reaching Law Based Sliding Mode Control of Sampled Time Systems

Leśniewski

Bartoszewicz

2021

Energies

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In this paper, discrete time reaching law-based sliding mode control of continuous time systems is considered. In sliding mode control methods, usually the assumption of bounded absolute values of disturbances is used. However in many cases, the rate of change of the disturbance is also bounded. In the presented approach, this knowledge is used to improve the control precision and reduce the undesirable chattering. Another advantage of the proposed method is that the disturbance does not have to satisfy the matching conditions. In the paper two new reaching laws are analyzed, one of them ensures the switching quasi-sliding motion and the other the non-switching motion. For both of them, the robustness is assessed by calculating the quasi-sliding mode band width, as well as the greatest possible state error values. Specifically, the state errors are not considered only at the sampling instants, as is usual for discrete time systems, but the bounds on the continuous values “between” the sampling instants are also derived. Then, the proposed approaches are compared and analyzed with respect to energy expenditure of the control signal.

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Section: Non-switching Reaching Lawmentioning

confidence: 99%

“…The eigenvalues of this matrix can be arbitrarily chosen by the designer, when selecting vector c. Moreover, using (12) it can be seen, that:…”

Section: Switching Reaching Lawmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reaching Law Based Sliding Mode Control of Sampled Time Systems

Leśniewski

Bartoszewicz

2021

Energies

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“…The nonuniform distribution of the motor's air-gap magnetic field is controlled through the interaction of currents in the two sets of windings, thus generating controlled radial force acting on the rotor to realize rotation and levitation [20,21]. The basic parameters of the BL-IM analyzed are shown in Table 1.…”

Section: The Bl-im Suspension Principlementioning

confidence: 99%

Electromagnetic Property Analysis of a Bearingless Induction Motor Using Amorphous Alloy Material

Xu¹,

Yang²,

Sun³

et al. 2021

PIER M

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A bearingless induction motor (BL-IM) is a new type of motor integrating suspension and rotation functions. Higher requirements are put forward for its suspension performance. Due to the material advantages of a new type of amorphous alloy with high magnetic conductivity, low loss, and low coercivity, it is considered to be used in the BL-IM rotor to reduce iron loss and improve the electromagnetic performance of the BL-IM. Finite element analysis software is used to analyze the performance of two different kinds of motors with the rotors made of conventional silicon steel and amorphous alloy, respectively. The magnetic field density distribution, torque, speed, and radial force are compared between the two motors. The results show that the speed of amorphous alloy motor increases faster, and the rotor has better suspension characteristics. Moreover, the amorphous alloy material has a smaller density; the material properties can effectively reduce the weight of the motor; it is beneficial to the operation of the BL-IM in special environments.

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“…Double windings are designed in the stator of CCR‐BIM. The torque winding is arranged on the inner layer, and the suspension winding is placed on the outer layer 22 . Air‐gap magnetic density distribution is unbalanced based on the interaction of two sets of windings.…”

Section: Basic Structure and Mathematical Model Of Ccr‐bimmentioning

confidence: 99%

A decoupling control of composite cage rotor bearingless induction motor based on SA‐PSO support vector machine inverse

Yang

Sun

et al. 2021

Int Trans Electr Energ Syst

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Summary A composite cage rotor bearingless induction motor (CCR‐BIM) is a complicated system with multi‐variable, nonlinear, and strong coupling. The decoupling control among speed and flux linkage and radial displacement is the base of the stable operation based on the structure, the suspension force and the mathematical model of the CCR‐BIM. A decoupling control strategy based on simulated annealing particle swarm optimization (SA‐PSO) support vector machine (SVM) inverse is proposed for the CCR‐BIM. First, the state equation and reversibility of the system are analyzed using a CCR‐BIM mathematical model and a compounded pseudo‐linear system consisting of the inverse system constructed is decoupled into two displacement subsystems by nonlinear SVM in series with the original system, a speed subsystem, and a flux linkage subsystem. Second, the SA‐PSO is introduced to improve the precision of the prediction model. Finally, results of simulation and experimental verify that the proposed strategy not only achieves the decoupling control between the speed, radial displacement and flux linkage, but also achieves stable suspension and high performance of the CCR‐BIM.

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Research on the Speed Sliding Mode Observation Method of a Bearingless Induction Motor

Cited by 14 publications

References 35 publications

Reaching Law Based Sliding Mode Control of Sampled Time Systems

Reaching Law Based Sliding Mode Control of Sampled Time Systems

Electromagnetic Property Analysis of a Bearingless Induction Motor Using Amorphous Alloy Material

A decoupling control of composite cage rotor bearingless induction motor based on SA‐PSO support vector machine inverse

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